/**
 * Copyright 2022 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#ifndef MINDSPORE_CORE_OPS_SPARSE_FILL_EMPTY_ROWS_H_
#define MINDSPORE_CORE_OPS_SPARSE_FILL_EMPTY_ROWS_H_
#include <memory>
#include <vector>
#include "mindapi/base/types.h"
#include "ops/base_operator.h"

namespace mindspore {
namespace ops {
constexpr auto kNameSparseFillEmptyRows = "SparseFillEmptyRows";
class MIND_API SparseFillEmptyRows : public BaseOperator {
 public:
  MIND_API_BASE_MEMBER(SparseFillEmptyRows);
  SparseFillEmptyRows() : BaseOperator(kNameSparseFillEmptyRows) {
    InitIOName({"indices", "values", "dense_shape", "default_value"},
               {"output_indices", "output_values", "empty_row_indicator", "reverse_index_map"});
  }
  void Init() const {}
};
MIND_API abstract::AbstractBasePtr SparseFillEmptyRowsInfer(const abstract::AnalysisEnginePtr &,
                                                            const PrimitivePtr &primitive,
                                                            const std::vector<abstract::AbstractBasePtr> &input_args);
}  // namespace ops
}  // namespace mindspore
#endif  // MINDSPORE_CORE_OPS_SPARSE_FILL_EMPTY_ROWS_H_
